This paper investigates the adversarial formation tracking control problem under global navigation satellite system (GNSS) spoofing attacks within leader-follower structure. First, to obtain the actual positioning data under GNSS spoofing attacks, an event-based attack detection and switching mechanism is designed using the cooperative location technology. Subsequently, considering the influence of output measurement noise on the accuracy of state estimation, a secure state estimator is constructed, which ensures continuous estimation of the follower’s actual states using only sampled signals. Then, the dynamic interaction relationship between the leader and followers is reconstructed using multiplayer nonzero-sum game (MNSG) theory. By employing the single-critic neural networks to approximate the value function and utilizing the dynamic event-triggered mechanism (DETM), approximate optimal control strategies are developed for followers to guarantee stable tracking of the adversarial leader. Simulation studies validate the effectiveness of the proposed approach.